OpenAI FDE

Deployment Lead, Semiconductors- SF

  • Location San Francisco
  • Compensation 200,000 – 295,000 USD / year
  • Type FullTime
  • Team Forward Deployed Engineering
  • Seniority senior
  • Posted 2026-07-14

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role details

Owns technical delivery plan for multiple work streams, tracks and drives engineering execution, and partners with customer teams to solve complex engineering problems.

Summary generated by AI from the original posting.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting
  • Travel:customer-facing; travel not stated

Skills

Evalsproject managementtechnical project managementengineeringcustomer workflowspartnershipsdeploymentRTL designverification

Excerpt from the original posting

About the Team 
OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.
About the Role 
As a Deployment Lead, you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.
You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.
Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.
This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25-50% is required.
In this role, you will: 
- Own the technical delivery plan for multiple interdependent work streams, translating customer objectives into a roadmap with milestones, depen…

→ OpenAI · Ashby

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